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AnonymousCS
/
populism_model310

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use AnonymousCS/populism_model310 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousCS/populism_model310 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AnonymousCS/populism_model310")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model310")
    model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model310")
  • Notebooks
  • Google Colab
  • Kaggle
populism_model310 / runs
8.03 kB
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  • 1 contributor
History: 1 commit
AnonymousCS's picture
AnonymousCS
End of training
0ac53e1 verified over 1 year ago
  • Jan29_23-54-48_96d15c5050f3
    End of training over 1 year ago